Exploring the areas within sports that are the most receptive to data science solutions

Ever larger models churning on increasingly faster machines suggest a potential path toward smarter AI, such as with the massive GPT-3 language model. However, new, more lean, approaches are being conceived and explored that may rival these super-models,…

В этой статье мы познакомимся с подходом к разработке конвейеров потоковой обработки данных (от англ. Streaming Data Pipelines) с помощью фреймворка Lightbend Cloudflow:рассмотрим фреймворк с точки...

A hands-on tutorial on how to speed up document retrieval by reducing the search space through Locality Sensitive Hashing (LSH)

This article is an End-to-End Guide on Approaching a supervised machine learning Problem and Deploying It Using Flask and Docker

This article is a hands-down introduction to Apache Calcite, an open-source framework for creating SQL databases for Data Engineers.

Discussing the difference between parametric and non-parametric methods in the context of Machine Learning

Responsible AI is more than just a set of principles. The expectation is that you will have evidence that they are being upheld.

How to build and train an AI model to identify various common anomaly patterns in time-series data.

Step by Step Discussion and Workout with Examples, Implementation manually and in R

How to Use Level of Detail Calculations to select and display most Increased Sales Each Month

Graph kernels methods that are easy to implement and yield models that can be efficiently trained

In Python with NumPy

See how to use Listener APIs and data quality libraries to get different levels of data observability for Apache Spark.

Correctly defining what makes a neural network deep is important. This post proposes an alternative definition to deep neural networks.

Or how to make sure the airplane’s altitude is not negative.

The real reasons why Artificial Intelligence is so hard

We know how to measure object detection performance, but how can this be done properly for video data?

Identifying duplicate records with a machine-learning approach

If you’re an aspiring creator or maintainer of open source machine learning frameworks, you might find these tips helpful.

Amazon's newly announced Custom Sounds and Custom Event Alerts features illustrate the potential of techniques like unsupervised learning.